Block matching algorithm for moving object detection in video forensic

The most challenging issues in video forensic is about detecting tampered moving objects from video sequences. Approaches based on moving object are more complex because making a distinction between tampered and non-tampered regions is difficult. Hence, this study proposed block matching algorithm (BMA) in video copy-move forgery detection scheme to detect regions that represent either tampered or non-tampered moving object. Various search methods have been compared in this study by using standard video forensic dataset to determine the most suitable search method for video copy-move forgery detection scheme. Adaptive rood pattern search (ARPS) has been chosen as the most suitable BMA to detect regions of moving object in video forensic due to its performance.

[1]  Jerome Casey An Investigation of Block Searching Algorithms for Video Frame Codecs , 2008 .

[2]  Chintan Varnagar,et al.  A Review on Moving Object Detection and Tracking Methods , 2015 .

[3]  T Koga,et al.  MOTION COMPENSATED INTER-FRAME CODING FOR VIDEO CONFERENCING , 1981 .

[4]  Jianhua Lu,et al.  A simple and efficient search algorithm for block-matching motion estimation , 1997, IEEE Trans. Circuits Syst. Video Technol..

[5]  N. S. Love,et al.  An Empirical Study of Block Matching Techniques for the Detection of Moving Objects , 2006 .

[6]  Shahrokh Ghaemmaghami,et al.  Detection of regional copy/move forgery in MPEG videos using optical flow , 2015, 2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP).

[7]  Nikunj Dhirajlal Jagani,et al.  Various Techniques for Detection of Moving Object , 2015 .

[8]  Jo Yew Tham,et al.  A novel unrestricted center-biased diamond search algorithm for block motion estimation , 1998, IEEE Trans. Circuits Syst. Video Technol..

[9]  Bing Zeng,et al.  A new three-step search algorithm for block motion estimation , 1994, IEEE Trans. Circuits Syst. Video Technol..

[10]  Paolo Bestagini,et al.  Local tampering detection in video sequences , 2013, 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP).

[11]  Anthony T. S. Ho,et al.  Surrey University Library for Forensic Analysis (SULFA) of video content , 2012 .

[12]  Sanjay N. Talbar,et al.  Performance Evaluation of Block Matching Algorithms for Video Coding , 2013 .

[13]  Lai-Man Po,et al.  A novel four-step search algorithm for fast block motion estimation , 1996, IEEE Trans. Circuits Syst. Video Technol..

[14]  Kai-Kuang Ma,et al.  Adaptive irregular pattern search with zero-motion prejudgement for fast block-matching motion estimation , 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..